Spatial dependencies in wind-related housing damage

Economics

Keywords

Fujita scale, Housing damage, Spatial dependence, Tornado

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

Published

Standard

Spatial dependencies in wind-related housing damage. / De Silva, Dakshina G.; Kruse, Jamie B.; Wang, Yongsheng.
2005. Paper presented at 10th Americas Conference on Wind Engineering, ACWE 2005, Baton Rouge, LA, United States.

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

Harvard

De Silva, DG, Kruse, JB & Wang, Y 2005, 'Spatial dependencies in wind-related housing damage', Paper presented at 10th Americas Conference on Wind Engineering, ACWE 2005, Baton Rouge, LA, United States, 31/05/05 - 4/06/05.

APA

De Silva, D. G., Kruse, J. B., & Wang, Y. (2005). Spatial dependencies in wind-related housing damage. Paper presented at 10th Americas Conference on Wind Engineering, ACWE 2005, Baton Rouge, LA, United States.

Vancouver

De Silva DG, Kruse JB, Wang Y. Spatial dependencies in wind-related housing damage. 2005. Paper presented at 10th Americas Conference on Wind Engineering, ACWE 2005, Baton Rouge, LA, United States.

Author

De Silva, Dakshina G. ; Kruse, Jamie B. ; Wang, Yongsheng. / Spatial dependencies in wind-related housing damage. Paper presented at 10th Americas Conference on Wind Engineering, ACWE 2005, Baton Rouge, LA, United States.

Bibtex

@conference{4efb7103be4542588b8101c6d105f1d1,

title = "Spatial dependencies in wind-related housing damage",

abstract = "This paper examines the spatial dependence among housing losses due to tornadoes using data from the May 1999 Oklahoma City tornado. In order to examine the existence of spatial dependence and its impacts on the damage analysis, we compare an estimation based on a traditional ordinary least square model with the general spatial model. The results show that housing damage in this disaster area is highly correlated. Monetary losses not only depend on the tornado that struck residences, but are related to the damage magnitudes of neighboring houses. Average losses as well as the loss ratio increase with the Fujita scale damage rating. We conclude that the general spatial model provides unbiased estimates compared to the ordinary least square model. In order to construct appropriate home insurance policies for tornado disasters or to improve the damage resistance capabilities of houses, it is necessary for insurance underwriters and builders to consider spatial correlation of tornado damage.",

keywords = "Fujita scale, Housing damage, Spatial dependence, Tornado",

author = "{De Silva}, {Dakshina G.} and Kruse, {Jamie B.} and Yongsheng Wang",

year = "2005",

language = "English",

note = "10th Americas Conference on Wind Engineering, ACWE 2005 ; Conference date: 31-05-2005 Through 04-06-2005",

}

RIS

TY - CONF

T1 - Spatial dependencies in wind-related housing damage

AU - De Silva, Dakshina G.

AU - Kruse, Jamie B.

AU - Wang, Yongsheng

PY - 2005

Y1 - 2005

N2 - This paper examines the spatial dependence among housing losses due to tornadoes using data from the May 1999 Oklahoma City tornado. In order to examine the existence of spatial dependence and its impacts on the damage analysis, we compare an estimation based on a traditional ordinary least square model with the general spatial model. The results show that housing damage in this disaster area is highly correlated. Monetary losses not only depend on the tornado that struck residences, but are related to the damage magnitudes of neighboring houses. Average losses as well as the loss ratio increase with the Fujita scale damage rating. We conclude that the general spatial model provides unbiased estimates compared to the ordinary least square model. In order to construct appropriate home insurance policies for tornado disasters or to improve the damage resistance capabilities of houses, it is necessary for insurance underwriters and builders to consider spatial correlation of tornado damage.

AB - This paper examines the spatial dependence among housing losses due to tornadoes using data from the May 1999 Oklahoma City tornado. In order to examine the existence of spatial dependence and its impacts on the damage analysis, we compare an estimation based on a traditional ordinary least square model with the general spatial model. The results show that housing damage in this disaster area is highly correlated. Monetary losses not only depend on the tornado that struck residences, but are related to the damage magnitudes of neighboring houses. Average losses as well as the loss ratio increase with the Fujita scale damage rating. We conclude that the general spatial model provides unbiased estimates compared to the ordinary least square model. In order to construct appropriate home insurance policies for tornado disasters or to improve the damage resistance capabilities of houses, it is necessary for insurance underwriters and builders to consider spatial correlation of tornado damage.

KW - Fujita scale

KW - Housing damage

KW - Spatial dependence

KW - Tornado

UR - http://www.scopus.com/inward/record.url?scp=84886875091&partnerID=8YFLogxK

M3 - Conference paper

AN - SCOPUS:84886875091

T2 - 10th Americas Conference on Wind Engineering, ACWE 2005

Y2 - 31 May 2005 through 4 June 2005

ER -

Research

Keywords